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GECCO
2004
Springer
15 years 3 months ago
Finding Maximum Cliques with Distributed Ants
In this paper we describe an ant system algorithm (ASMC) for the problem of finding the maximum clique in a given graph. In the algorithm each ant has only local knowledge of the ...
Thang Nguyen Bui, Joseph R. Rizzo
GECCO
2004
Springer
15 years 3 months ago
Bounding Learning Time in XCS
It has been shown empirically that the XCS classifier system solves typical classification problems in a machine learning competitive way. However, until now, no learning time es...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
94
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GECCO
2004
Springer
122views Optimization» more  GECCO 2004»
15 years 3 months ago
Gradient-Based Learning Updates Improve XCS Performance in Multistep Problems
This paper introduces a gradient-based reward prediction update mechanism to the XCS classifier system as applied in neuralnetwork type learning and function approximation mechani...
Martin V. Butz, David E. Goldberg, Pier Luca Lanzi
GECCO
2004
Springer
104views Optimization» more  GECCO 2004»
15 years 3 months ago
Optimal Operating Conditions for Overhead Crane Maneuvering Using Multi-objective Evolutionary Algorithms
While operating a crane for maximum productivity, the time of operation and the required energy are two important conflicting factors faced by a crane operator. In such a case, tr...
Kalyanmoy Deb, Naveen Kumar Gupta
GECCO
2004
Springer
211views Optimization» more  GECCO 2004»
15 years 3 months ago
Node-Depth Encoding for Evolutionary Algorithms Applied to Network Design
Network design involves several areas of engineering and science. Computer networks, electrical circuits, transportation problems, and phylogenetic trees are some examples. In gene...
Alexandre C. B. Delbem, André Carlos Ponce ...